The impact of optimal parcel locker locations on costs and the environment
International Journal of Physical Distribution & Logistics Management
; 52(4):324-350, 2022.
Article
in English
| ProQuest Central | ID: covidwho-1874099
ABSTRACT
Purpose>Last-mile delivery is associated with a negative environmental impact and high costs. The purpose of this paper is to develop an approach to designing stationary parcel locker (SPL) networks while minimizing both CO2 equivalent (CO2e) emissions and costs during delivery and pick-up.Design/methodology/approach>This study uses a multinomial logit model to evaluate recipients' willingness to use SPLs based on their availability at home and travel distance. To determine optimal SPL locations, this study formulates a mixed-integer linear programming model.Findings>The empirical study of different regional clusters reveals that optimal SPL locations can generate cost savings of up to 11.0%. SPLs have a positive impact on total CO2e emission savings in urban areas (i.e. up to 2.5%), but give rise to additional emissions (i.e. 4.6%) in less populated areas due to longer travel distances during the pick-up process.Originality/value>This paper optimizes SPL locations and the ecological effect of SPLs by minimizing emissions and costs simultaneously. Furthermore, it extends existing discrete choice models by also including recipients' availability at home, increasing the accuracy of recipients' preferences. So far, the effect of SPLs has been studied for metropolitan areas only. A global logistics service provider shared a real dataset which allows us to study seven different regional clusters ranging from rural areas to large cities. Thus, this study contributes to the field of sustainable urban logistics.
Transportation--Trucks And Trucking; Last-mile delivery; Parcel locker location; Sustainable delivery; Mixed-integer linear programming; Scenario analysis; Research; Linear programming; Consumers; Integer programming; Emissions; Pandemics; Rural areas; Metropolitan areas; Availability; Logit models; Mixed integer; Clusters; Logistics; Customers; Cost control; Ecological effects; Environmental impact; COVID-19; Urban areas; Netherlands; China; Europe; France; Germany
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Experimental Studies
Language:
English
Journal:
International Journal of Physical Distribution & Logistics Management
Year:
2022
Document Type:
Article
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